On the performance of wide-area thin-client computing

Author:

Lai Albert M.1,Nieh Jason1

Affiliation:

1. Columbia University, New York, NY

Abstract

While many application service providers have proposed using thin-client computing to deliver computational services over the Internet, little work has been done to evaluate the effectiveness of thin-client computing in a wide-area network. To assess the potential of thin-client computing in the context of future commodity high-bandwidth Internet access, we have used a novel, noninvasive slow-motion benchmarking technique to evaluate the performance of several popular thin-client computing platforms in delivering computational services cross-country over Internet2. Our results show that using thin-client computing in a wide-area network environment can deliver acceptable performance over Internet2, even when client and server are located thousands of miles apart on opposite ends of the country. However, performance varies widely among thin-client platforms and not all platforms are suitable for this environment. While many thin-client systems are touted as being bandwidth efficient, we show that network latency is often the key factor in limiting wide-area thin-client performance. Furthermore, we show that the same techniques used to improve bandwidth efficiency often result in worse overall performance in wide-area networks. We characterize and analyze the different design choices in the various thin-client platforms and explain which of these choices should be selected for supporting wide-area computing services.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Reference57 articles.

1. 100×100 Project. The 100 × 100 Project. http://100x100network.org/. 100×100 Project. The 100 × 100 Project. http://100x100network.org/.

2. Allman M. Floyd S. and Partridge C. 1998. RFC 2414: Increasing TCP's Initial Window. Allman M. Floyd S. and Partridge C. 1998. RFC 2414: Increasing TCP's Initial Window.

3. AT&T Laboratories Cambridge. Virtual Network Computing. http://www.uk.research.att.com/vnc. AT&T Laboratories Cambridge. Virtual Network Computing. http://www.uk.research.att.com/vnc.

4. Bradner S. 2005. Implications of an improving Internet. Network World. http://www.networkworld.com/columnists/2005/040405bradner.html. Bradner S. 2005. Implications of an improving Internet. Network World. http://www.networkworld.com/columnists/2005/040405bradner.html.

Cited by 57 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Improving Resource and Energy Efficiency for Cloud 3D through Excessive Rendering Reduction;Proceedings of the Nineteenth European Conference on Computer Systems;2024-04-22

2. Interactivity Anomaly Detection in Remote Work Scenarios Using LSTM;IEEE Access;2024

3. Evaluation of RTT as an Estimation of Interactivity Time for QoE Evaluation in Remote Desktop Environments;2023 33rd International Telecommunication Networks and Applications Conference;2023-11-29

4. INDICES: Applying DDDAS Principles for Performance Interference-aware Cloud-to-Fog Application Migration;Handbook of Dynamic Data Driven Applications Systems;2023

5. A Benchmarking Framework for Interactive 3D Applications in the Cloud;2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO);2020-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3